Results 171 to 180 of about 2,483,627 (230)

Lossless source coding with polar codes

2010 IEEE International Symposium on Information Theory, 2010
In this paper lossless compression with polar codes is considered. A polar encoding algorithm is developed and a method to design the code and compute the average compression rate for finite lengths is given. It is shown that the scheme achieves the optimal compression rate asymptotically. Furthermore, the proposed scheme has a very good performance at
HarmS. Cronie, Satish Babu Korada
openaire   +1 more source

Deep-Learning-Based Lossless Image Coding

IEEE transactions on circuits and systems for video technology (Print), 2020
This paper proposes a novel approach for lossless image compression. The proposed coding approach employs a deep-learning-based method to compute the prediction for each pixel, and a context-tree-based bit-plane codec to encode the prediction errors ...
I. Schiopu, A. Munteanu
semanticscholar   +1 more source

Lossless predictive coding

Proceedings of 1994 37th Midwest Symposium on Circuits and Systems, 2002
This paper describes the first stage of a two stage lossless data compression algorithm. The first stage consists of a lossless adaptive predictor. The term lossless implies that the original data can be recovered exactly. The second stage employs arithmetic coding. Results are presented for a seismic data base.
J.W. McCoy, N. Magotra, S. Stearns
openaire   +1 more source

Efficient Lossless Image Contour Coding

Computer Graphics Forum, 1996
AbstractA process is presented for converting a raster image into a discrete set of plateaus or contours. A contour coder has been developed which fully describes these contours via their boundary descriptions in a compact and computationally efficient manner, and is the basis for an image compression method.
Turner, Martin J., Wiseman, Neil E.
openaire   +2 more sources

An Ultra-Low Complexity and High Efficiency Approach for Lossless Alpha Channel Coding

IEEE transactions on multimedia, 2020
Alpha channel is being applied in an increasing number of mobile web applications on mobile devices that require ultra-low power consumption in all cases including compute-intensive video encoding and decoding.
Liping Zhao, Tao Lin, Dongyu Zhang, Kailun Zhou, Shuhui Wang   +4 more
semanticscholar   +1 more source

Lossless, near-lossless, and refinement coding of bilevel images

IEEE Transactions on Image Processing, 1999
We present general and unified algorithms for lossy/lossless coding of bilevel images. The compression is realized by applying arithmetic coding to conditional probabilities. As in the current JBIG standard the conditioning may be specified by a template. For better compression, the more general free tree may be used.
B, Martins, S, Forchhammer
openaire   +2 more sources

CNN-based Prediction for Lossless Coding of Photographic Images

Picture Coding Symposium, 2018
The paper proposes a novel prediction paradigm in image coding based on Convolutional Neural Networks (CNN). A deep neural network is designed to provide accurate pixel-wise prediction based on a causal neighbourhood.
I. Schiopu, Yu Liu, A. Munteanu
semanticscholar   +1 more source

Lossless fractal image coding

Proceedings EC-VIP-MC 2003. 4th EURASIP Conference focused on Video/Image Processing and Multimedia Communications (IEEE Cat. No.03EX667), 2004
Lossless fractal image coding (LFIC) is a new method to code images. The significant property of this method is that it is the first simple fractal image coding method that can regenerate images without data loss (lossless). The method, different from the other fractal image compression, needs no search for the matched domain-range.
K. Prachumrak, A. Hiramatsu, T. Fuchida, H. Nakamura, S. Murashima   +4 more
openaire   +1 more source

Bilateral Context Modeling for Residual Coding in Lossless 3D Medical Image Compression

IEEE Transactions on Image Processing
Residual coding has gained prevalence in lossless compression, where a lossy layer is initially employed and the reconstruction errors (i.e., residues) are then losslessly compressed.
Xiangrui Liu, Meng Wang, Shiqi Wang, S. Kwong   +3 more
semanticscholar   +1 more source

Context Adaptive Lossless and Near-Lossless Coding for Digital Angiographies

2007 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2007
This paper presents a context adaptive coding method for image sequences in hemodynamics. The proposed method implements motion compensation through of a two-stage context adaptive linear predictor. It is robust to the local intensity changes and the noise that often degrades these image sequences, and provides lossless and near-lossless quality.
Rafael A P, dos Santos, Jacob, Scharcanski   +1 more
openaire   +2 more sources